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    BMCBI
    2007
    153views more  BMCBI 2007»
    A new pairwise kernel for biological network inference with support vector machines
    13 years 4 months ago
    A new pairwise kernel for biological network inference with support vector machines
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    Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
    Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
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    ESANN
    2006
    84views Neural Networks» more  ESANN 2006»
    Spatial filters for the classification of event-related potentials
    13 years 6 months ago
    Spatial filters for the classification of event-related potentials
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    Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
    Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
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    BMCBI
    2006
    158views more  BMCBI 2006»
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    13 years 4 months ago
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
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    Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
    Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
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    BMCBI
    2005
    107views more  BMCBI 2005»
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    13 years 4 months ago
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
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    Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
    Jiren Wang, Wing-Kin Sung, Arun Krishnan, Kuo-Bin ...
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    BMCBI
    2005
    251views more  BMCBI 2005»
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    13 years 4 months ago
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    Download  www.biomedcentral.com
    Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
    Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
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